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Mental health indicator interaction in predicting substance abuse treatment outcomes in nevada.

机译:心理健康指标在预测内华达州药物滥用治疗效果方面的相互作用。

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BACKGROUND: Indicators of co-occurring mental health and substance abuse problems routinely collected at treatment admission in 19 State substance abuse treatment systems include a dual diagnosis and a State mental health (cognitive impairment) agency referral. These indicators have yet to be compared as predictors of treatment outcomes. OBJECTIVES: 1. Compare both indices as outcomes predictors individually and interactively. 2. Assess relationship of both indices to other client risk factors, e.g., physical/sexual abuse. METHODS: Client admission and discharge records from the Nevada substance abuse treatment program, spanning 1995-2001 were reviewed (n = 17,591). Logistic regression analyses predicted treatment completion with significant improvement (33%) and treatment readmission following discharge (21%). Using Cox regression, the number of days from discharge to treatment readmission was predicted. Examined as predictors were two mental health indicators and their interaction with other admission and treatment variables controlled. RESULTS: Neither mental health indicator alone significantly predicted any of the three outcomes; however, the interaction between the two indicators significantly predicted each outcome (p < .05). Having both indices was highly associated with physical/sexual abuse, domestic violence, homelessness, out of labor force and prior treatment. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: Indicator interactions may help improve substance abuse treatment outcomes prediction.
机译:背景:在19个州的药物滥用治疗系统中,入院时通常会收集到的同时发生的精神健康和药物滥用问题的指标,包括双重诊断和州精神卫生(认知障碍)机构转诊。这些指标尚未作为治疗结果的预测指标进行比较。目标:1.分别和交互比较两个指标作为结果预测指标。 2.评估两个指数与其他客户风险因素(例如身体/性虐待)的关系。方法:回顾了1995-2001年内华达州药物滥用治疗计划的客户入院和出院记录(n = 17,591)。 Logistic回归分析预测治疗的完成将有显着改善(33%),出院后再次入院(21%)。使用Cox回归,可以预测从出院到再入院的天数。两项心理健康指标被作为预测因素进行了检验,它们与其他入院和治疗变量的相互作用得到了控制。结果:单独的一项心理健康指标均不能显着预测这三种结果。然而,两个指标之间的相互作用显着预测了每个结局(p <.05)。拥有两个指标与身体/性虐待,家庭暴力,无家可归,劳动力不足和先前治疗密切相关。结论和科学意义:指标相互作用可能有助于改善药物滥用治疗结果的预测。

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